DocumentCode :
2772780
Title :
Fast Active Contours for Sampling
Author :
Hernandez, Jorge ; Prieto, Flavio ; Redarce, Tanneguy
Author_Institution :
Univ. Nacional de Colombia sede Manizales, Caldas
Volume :
2
fYear :
2006
fDate :
Sept. 2006
Firstpage :
9
Lastpage :
13
Abstract :
This paper presents a novel implementation of active contour model for fast extraction in image interpretation called fast active contours for sampling (FACS). The described process is based on the use of a sampling window in the phase of minimization of the energy. The method can be combined with most of the other active contour approaches presented, thanks to the independence between the computational minimization process and the classical active contour minimization process. Experimental result is a fast active contour convergence towards desired object boundaries and its show improvements in terms of computational time reduction after only very few iterations, when compared with other similar fast active contour models
Keywords :
convergence; feature extraction; image sampling; image segmentation; convergence; energy minimization; fast active contour; feature extraction; image interpretation; image sampling; image segmentation; Active contours; Convergence; Data mining; Dynamic programming; Greedy algorithms; Image sampling; Image segmentation; Minimization methods; Sampling methods; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Robotics and Automotive Mechanics Conference, 2006
Conference_Location :
Cuernavaca
Print_ISBN :
0-7695-2569-5
Type :
conf
DOI :
10.1109/CERMA.2006.50
Filename :
4019762
Link To Document :
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